Security Scan Report: www.commercialappeal.com

Redirected to: https://eu.commercialappeal.com/story/news/2025/09/24/att-data-breach-settlement-eligibility-claim-deadlines/86330591007/

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Submitted: Oct 9, 2025, 2:50:59 PMCompleted: Oct 9, 2025, 2:52:11 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 11 domains to perform 132 HTTP transactions. The main domain is eu.commercialappeal.com and was registered NaN years ago.

Submitted URL: https://www.commercialappeal.com/story/news/2025/09/24/att-data-breach-settlement-eligibility-claim-deadlines/86330591007/

Effective URL: https://eu.commercialappeal.com/story/news/2025/09/24/att-data-breach-settlement-eligibility-claim-deadlines/86330591007/Redirected

The Cisco Umbrella rank of the primary domain is #278,496 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established news organization
Long registration history
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

Deadline nearing for AT&T data breach settlement. Here's what to know

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'www.commercialappeal.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'commercialappeal' is 16 characters long split between 7 vowels and 9 consonants. Tokenizing the label suggests 2 words: commercial, appeal. Median word length comes out to 8 characters. 'commercial' most strongly signals English. It also appears in Chinese (Pinyin) and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://www.commercialappeal.com/story/news/2025/09/24/att-data-breach-settlement-eligibility-claim-deadlines/86330591007/

Page Load Overview

37.61s
Total Load Time
132
HTTP Requests
11
Domains
11.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:19,881 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
news
30%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2018.244.18.122United States
AS16509AMAZON-02
7151.101.129.91San Francisco, California, United States
AS54113FASTLY
7146.75.122.62Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7104.18.86.42United States
AS13335CLOUDFLARENET
7104.18.87.42United States
AS13335CLOUDFLARENET
718.244.18.38United States
AS16509AMAZON-02
72606:4700::6812:572aUnited StatesUnknown
718.244.18.32United StatesUnknown
7151.101.1.91United StatesUnknown
72a04:4e42::347United StatesUnknown
13217--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11864F72B3954233EE6D78749AAA27B853510985FFD335CDCF58C53384BCABE20D2164A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VKHxeWdnXv5l8Z8UY85GUk56aAkxZ3+qYFdy1s/yZxtYhp6tYvy3jdm2mHMlz9J5:8HxeWdnXrJxWWeETegW0bVWwodr5iH9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:322997:xoCMG0IHMYBTyggI+mgwYYJVVCQhsgI2SEpEqgDgA0aAlgSKwwGNYiY4giqtLEIrAYYiBe2MEIARCZMEDkIAqwBTEezUYKYE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:e7c3c3c3c3ffffff
Perceptual Hash:e5619e9a49c99a9a
Difference Hash:8e8e8e868ec8cec4
Wavelet Hash:42c2c3c3c3e3e3e3
Color Hash:#78663a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data